I’m Divyanshi Garg, a Senior Data Engineer with 5+ years of experience designing and implementing Big Data systems and cloud-based analytics platforms. My work spans across batch and streaming data pipelines, helping organizations convert raw data into actionable insights and drive data-informed decisions. 💼 I’ve had the opportunity to interview with top product-based companies such as Google, Atlassian, and Fractal. These experiences have given me deep insights into what hiring managers look for in Data Engineers and how candidates can stand out, from mastering core AWS services to nailing technical interviews. Over the years, I’ve worked in diverse industries — Retail, Networking, Manufacturing, Logistics, Energy & Utilities — delivering scalable, fault-tolerant solutions that power real-time and business-critical analytics. 💡 Alongside my professional journey, I’m also passionate about mentoring and guiding aspiring Data Engineers. I’ve had the privilege of helping 500+ learners build strong foundations in ETL, pipelines, data modelling, and warehousing — with many of my mentees securing roles in top product-based companies. 🔹 Key Competencies 1️⃣ Designing & Optimizing Big Data ETL Pipelines 2️⃣ Building Unified Analytics Platforms (Batch + Streaming) 3️⃣ Data Modelling, Warehousing & Business Reporting 4️⃣ Scalable Cloud Architecture (AWS) 5️⃣ SQL, Python, Spark, Modern Data Tools 6️⃣ Strategic Planning, Design Thinking & Mentorship Why I Can Help You: I understand the skills, mindset, and strategies needed to break into top-tier companies and advance in data engineering careers. Whether it’s optimizing data pipelines or preparing for interviews at companies like Google and Atlassian, I can help you achieve your career goals. 🔹 Technologies I Work With 📍 Cloud: AWS Data Services (S3, Glue, Lambda, DynamoDB, Step Functions, IAM, Secret Manager, CloudWatch, SNS, Athena, Airflow) 📍 Languages: Python, SQL, PySpark, SparkSQL, Terraform 📍 Data Technologies: SQL, NoSQL, Data Warehousing, ETL, Data Models, Data Lakes, Data Pipelines, Scripting, Data Analytics, Data Visualization, Data Privacy, Data Modelling, Data Mining, Query Optimization, RDBMS 📍 Tools & Frameworks: Databricks, Snowflake, Starburst 🚀 My Mission: At Topmate, I aim to bridge the gap between learning and real-world application. Whether you’re just starting your data engineering journey or preparing to crack top product-based interviews, I’ll provide structured guidance, hands-on insights, and career-oriented strategies. 👉 Let’s unlock the true potential of Data Engineering & Cloud Analytics together!